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Udacity
Udacity
Free Course

Intro to Machine Learning using Microsoft Azure

In Collaboration With
Microsoft

Build practical experience by training, validating and evaluating machine learning models using Microsoft Azure.

About this Course

Gain a high-level introduction to the field of machine learning and prepare to use Azure Machine Learning Studio to train machine learning models. Plus, learn how to perform a variety of tasks on Azure Machine Learning labs — from data import, transformation and management to training, validating and evaluating models.

Access to the Azure Machine Learning Labs will close after a predetermined number of students have completed the course.
Course Cost
Free
Timeline
Approx. 2 Months
Skill Level
Intermediate
Included in Product

Rich Learning ContentRich Learning Content

Interactive QuizzesInteractive Quizzes

Taught by Industry ProsTaught by Industry Pros

Self-Paced LearningSelf-Paced Learning

Join the Path to Greatness

This course is your first step towards a new career in Machine Learning using Microsoft Azure.

Free Course

Introduction to Machine Learning using Microsoft Azure

In Collaboration WithMicrosoft

Enhance your knowledge of Microsoft Azure through hands-on learning and get one step closer to advancing your career.

Icon steps
Nanodegree Program

Machine Learning Engineer for Microsoft Azure

In Collaboration WithMicrosoft

Build and deploy sophisticated machine learning solutions and gain practical experience running complex machine learning tasks using the built-in Azure labs accessible inside the Udacity classroom.

 
 

Course Leads

Aniththa Umamahesan

Aniththa Umamahesan

Program Manager, Microsoft Azure Machine Learning

Abe Omorogbe

Abe Omorogbe

Program Manager, Microsoft

Zoiner Tejada

Zoiner Tejada

CEO & Architect, Solliance

Ciprian Jichici

Ciprian Jichici

Chief Data Scientist, Solliance

What You Will Learn

lesson 1

Introduction to Machine Learning

  • Gain a high-level introduction to the field of machine learning and train your first machine learning model using Azure Machine Learning Studio
lesson 2

Model Training

  • Learn how to prepare data and then transform it into trained machine learning models and get an introduction to ensemble learning and automated machine learning
lesson 3

Supervised & Unsupervised Learning

  • Dive into two of Machine Learning's fundamental approaches: supervised and unsupervised learning and learn about classification, regression, clustering, representation learning, and more
lesson 4

Applications of Machine Learning

  • This lesson looks at some of the most important applications of ML, including deep learning, similarity learning, text classification, feature learning, and anomaly detection
lesson 5

Managed Services for Machine Learning

  • Learn how to enhance your ML processes with managed services and discuss computing resources, the modeling process, automation via pipelines, and more
lesson 6

Responsible AI

  • This lesson will tackle some of the potential implications and challenges posed by ML and AI—as well as principles for building responsible AI that avoids harming others

Prerequisites and Requirements

The Introduction to Machine Learning using Microsoft Azure course is intended for learners who have prior programming knowledge in any language, preferably Python, and are comfortable writing scripts. Having a knowledge of basic statistics will also help with deploying the Machine Learning models in this course.

See the Technology Requirements for using Udacity.

Why Take This Course

As more and more services move to the cloud, the need for machine learning expertise in cloud infrastructure increases. In fact, nearly 90% of companies rely on cloud computing. Microsoft Azure is one of the top cloud providers among Fortune 500 companies, and this free course aims to enable a new generation of machine learning practitioners to progress their careers.
What do I get?
  • Instructor videos
  • Learn by doing exercises
  • Taught by industry professionals
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